114 results about "Environmental evaluation" patented technology

A method and device for evaluating ecological cumulative effects of surface mining areas are provided. The method includes: constructing a surface mining areas eco-environmental evaluation index (SMAEEI) suitable for semi-arid grasslands; constructing a first eco-environmental quality condition adjustment coefficient R(Si,j,th) based on the actual land cover classification result and the SMAEEI; obtaining the actual ecosystem service value ESV per unit area of the area to be evaluated in several years through the unit area ecosystem service value coefficient VCif of the area to be evaluated and the first eco-environmental quality condition adjustment coefficient R(Si,j,th); based on the time-series trajectory integral value of the actual ecosystem service value ESV per unit area and the ideal ecosystem service value ESV′ per unit area undisturbed by human beings, performing residual analysis to obtain the ecosystem service value accumulation induced by anthropogenic factors (ESVA-AF).

The invention relates to the technical field of environment evaluation, in particular to a comprehensive evaluation method and system for a mine geological environment. The method comprises the following steps that mine ore content data, underground water level data, soil acidity and alkalinity data and mine geological meteorological condition data are obtained and subjected to time sequence synchronization processing, and corresponding ore content data, underground water level data, soil acidity and alkalinity data and mine geological meteorological condition data in the same time sequence range are obtained; mine geologic structure exploration data are obtained, three-dimensional space structure modeling and environment risk factor monitoring of all sites are carried out, meanwhile, environment risk comprehensive evaluation analysis and environment risk management analysis are carried out on a three-dimensional space model of mine geologic structure distribution, and mine geologic environment risk management decision suggestions are generated. And executing a corresponding mine geological environment risk level management decision treatment plan. According to the invention, comprehensive dynamic monitoring of the geological environment of the mine can be realized on different time scales and spatial position dimensions.

The invention provides an ecological environment evaluation method and device for a coal mine area and a mining area environment evaluation system. The method comprises the steps that a plurality of environmental indexes of a coal mine area are obtained, and the environmental indexes comprise one or more of soil quality, water quality index, vegetation coverage rate, air quality index, noise level, waste water discharge amount, waste gas discharge amount, biodiversity index, heavy metal content and greening coverage area; the relevancy between the environment indexes is obtained, and the relevancy is the changed relevancy degree between any two environment indexes; a first weight coefficient is determined according to the relevancy, and the first weight coefficient and the relevancy are in positive correlation; and performing weighted average at least according to the plurality of environment indexes and the first weight coefficients corresponding to the environment indexes to obtain an evaluation score. According to the scheme, the problem of low accuracy of the evaluation result of the coal mine environment in the prior art is solved.

The invention relates to the technical field of environment evaluation, and discloses a multi-dimensional environment comprehensive evaluation method and system, and the method comprises the steps: carrying out the comprehensive image shooting of an environment through an unmanned plane carrying device, constructing an environment real scene model through combining laser scanning point cloud data and an algorithm, and providing a precise reference for the layout of a sensor. The method comprises the following steps: selecting proper sensors according to requirements and arranging the sensors; ensuring comprehensive coverage; setting an evaluation period; collecting environmental parameter values, constructing Bayesian network fusion data to obtain parameter evaluation values, calculating actual comprehensive evaluation values by combining subjective weights and objective weights, reflecting environmental conditions, and collecting historical data. And constructing an ARI MA model to predict an environmental parameter evaluation value in the next evaluation period, evaluating the prediction precision, if the precision is low, generating a prediction deviation signal, collecting data in real time in the evaluation period, constructing a complex time sequence, training a CNN-LSTM model for prediction, obtaining a prediction comprehensive evaluation value, and performing comprehensive evaluation on an environmental evaluation area.

The invention discloses an island ecological restoration effect comprehensive evaluation method, and particularly relates to the technical field of ecological environment evaluation. Obtaining a restoration area ecological basic parameter set, and constructing an original ecological characteristic matrix; calculating a restoration response curve based on the time sequence change characteristics, and determining the restoration response weight of each ecological factor; calculating a restoration net effect through a normalized difference model of parameters of a contrast area, and eliminating the influence of natural fluctuation; inputting the net effect vector into an ecological system structure coupling model, and quantifying the coupling strength between ecological factors to obtain a restoration comprehensive contribution degree; further performing space-time interpolation analysis to form a restoration effect distribution matrix and calculating a restoration vulnerability index; generating a repair optimization suggestion set according to a threshold value distribution result, and outputting a comprehensive evaluation report; according to the method, dynamic quantification and systematized diagnosis of the ecological restoration process are realized, the spatio-temporal evolution characteristics and restoration effect differences of the island ecosystem can be accurately reflected, and a scientific basis is provided for ecological restoration optimization and intelligent decision making.

The invention discloses an evaluation and attribution method for service change of a farmland-wetland composite ecosystem, relates to the technical field of environmental evaluation, and aims to solve the problem that the service change evaluation of the farmland-wetland composite ecosystem is inaccurate in an existing evaluation method. The method comprises the following steps: 1, acquiring land utilization / coverage data and driving force factor data; 2, model parameters are set, and output results about habitat quality, water yield, soil conservation, wind prevention and sand fixation and grain production are obtained; 3, establishing a comprehensive evaluation index system, wherein the system comprises three aspects: supply service, adjustment service and support service; 4, selecting five ecosystem service indexes, and performing comprehensive quantitative evaluation on the farmland-wetland composite ecosystem service; 5, analyzing space-time evolution characteristics by adopting a cold and hot spot pattern analysis method; and 6, analyzing the interpretation force of different driving factors on each ecosystem service through a generalized linear mixed effect model. The method is used for accurately evaluating the service change of the farmland-wetland composite ecosystem.

The invention discloses a multi-scene-oriented AI fire safety monitoring and automatic early warning system, and belongs to the technical field of fire monitoring, and the system comprises a data collection module which is used for periodically collecting environment factor data influencing a fire hazard, and obtaining a basic data set; the environment evaluation module is used for calculating an environment evaluation value by utilizing the environment factor data in the basic data set; the monitoring mode selection module is used for selecting an intelligent monitoring mode, a multi-source fusion monitoring mode and a sensor monitoring mode according to the environmental evaluation value; the fire-fighting evaluation module is used for evaluating the possibility of fire occurrence according to the selected mode; and the early warning module is used for generating and sending early warning information according to the evaluation result. According to the invention, by adopting an intelligent data processing and analysis technology, a monitoring mode can be flexibly selected and the possibility of fire occurrence can be accurately evaluated according to different environmental factors and scene characteristics, so that early warning information can be sent out in time, and a powerful guarantee is provided for life and property safety of people.

The invention relates to a multi-angle comprehensive evaluation system and method for a domestic sewage treatment process, and the system comprises a technical evaluation module, an economic evaluation module, an environment evaluation module, a comprehensive evaluation module and an analysis module, and constructs a technical efficiency evaluation index TEA according to an effluent stability index and the stability of technical operation; taking the weighted sum of the macroscopic cost evaluation index, the cost evaluation indexes of different types and the cost evaluation indexes of different stages as an economic evaluation index EA; the comprehensive environmental evaluation index CEA is equal to CEAS + CEAG-delta CEAW; the results of the technical evaluation module, the economic evaluation module and the environment evaluation module are obtained, and a weighted summation result is used as a comprehensive evaluation result CE; relative advantages and disadvantages of the domestic sewage treatment process are integrally evaluated through CE, and technical, economic or environmental improvement measures can be taken according to relative sizes of output results of the technical evaluation module, the economic evaluation module and the environmental evaluation module. According to the method, the actual operation state of the technology can be presented more accurately, and the evaluation accuracy is improved.

The invention discloses a natural resource environment quality comprehensive evaluation method and system based on spatial distribution, and relates to the technical field of environment evaluation. The evaluation method comprises the steps of S1, determining an evaluation target and an evaluation range, S2, collecting and processing data, S3, constructing an evaluation index system, S4, implementing comprehensive evaluation, S5, establishing a dynamic weight adjustment mechanism, and S6, analyzing a result and formulating a strategy. The method is technically characterized in that a related mechanism of weight adjustment triggered by abnormal indexes is established, on one hand, the recognition and feedback capability of key problems is enhanced, and on the other hand, conversion of an evaluation system from static evaluation to dynamic response is promoted, so that the problems that traditional evaluation results are lagged and ecological environment changes cannot be reflected in time are solved, and the evaluation efficiency is improved. According to the method, the closed-loop regulation and control capability of dynamic adjustment and optimization is embodied, after a primary weight correction action is carried out, when a certain index deviates from a normal threshold value, a secondary weight correction program is automatically started, and the system weight of a criterion layer where the index is located is improved.

Aspects of the disclosure provide for controlling behaviors of autonomous vehicles based on evaluation of sensors of those vehicles. For instance, sensor data including distance and intensity information for a point in an environment of an autonomous vehicle may be received. An expected intensity value from a pre-stored fair weather reference map may be identified based on a location of the point. An effective detection range for the sensor may be dynamically determined based on the expected intensity and the intensity information for the point. A behavior of the autonomous vehicle may be controlled based on the effective detection range.

The present disclosure relates to ESG (Environment, Social, Governance) management devices comprising, an ESG diagnosis module configured to generate ESG diagnosis results for a target company based on a plurality of ESG evaluation items including environmental evaluation items, social evaluation items, governance evaluation items, and general evaluation items; a materiality topic selection module configured to select materiality topics corresponding to the target company from among ESG topics included in an ESG topic pool; an ESG report generation module configured to generate an ESG report based on the ESG diagnosis results and responses to the materiality topics; and an ESG management support module configured to provide an ESG management screen including at least one of the ESG diagnosis results, the materiality topics, and the ESG report.

The invention discloses a comprehensive evaluation method for soil pollution in a decommissioned uranium mine area, relates to the technical field of environmental evaluation, and solves the technical problem that a soil pollution evaluation method is not clear due to lack of soil pollution data in an existing decommissioned uranium mine area. According to the technical scheme, the method is characterized in that the influence of radionuclides, environmental ecology, environment and biological effects in the decommissioned uranium mine area soil on the soil quality is comprehensively considered, key influence factors influencing the uranium mine area soil quality can be screened out, and the problems that existing data is lack, and a research method is not clear are solved; and a basis is provided for subsequent sustainable utilization of soil and environmental health.

The invention relates to a pressure sensing inverse echo measurement LSTM short-time sea wave significant wave height prediction method, and belongs to the technical field of marine environment parameter inversion and marine dynamics observation. The method comprises the following steps: firstly, preprocessing multi-source observation data, and matching and integrating data from different sources; establishing a model, and improving the performance of the model by adjusting the structure and parameters of the model; and finally, evaluating the precision of the model, and verifying the precision and stability of the model in a complex environment. According to the method provided by the invention, a plurality of long and short-term memory network layers are combined with a plurality of full-connection layers to realize hierarchical fusion of time features, so that the prediction precision of the significant wave height of the short-term sea wave is improved, and important data support is provided for the directions of ocean dynamics, environmental evaluation and the like.

The invention discloses an environment assessment method and system for a photovoltaic power station, and the method comprises the steps: firstly obtaining the environment data of a to-be-assessed photovoltaic power station in real time through at least one environment information collection device; preprocessing the environmental data of the photovoltaic power station to be evaluated to generate environmental characteristic data; constructing an evaluation index system of the environment characteristic data; determining evaluation parameters and evaluation factors of the environment characteristic data based on the environment characteristic data and an evaluation index system; and determining an environment evaluation result of the photovoltaic power station to be evaluated based on the evaluation parameters and the evaluation factors of the environment characteristic data. Through the above mode, effective integration and analysis of the environmental data are realized, and the method is of great significance in improving the operation efficiency of a photovoltaic power station, reducing the operation and maintenance cost, prolonging the service life of equipment and guaranteeing the operation safety.

The invention relates to the technical field of regional marine environment evaluation, in particular to a method for predicting the seawater quality pollution degree based on sensitive phytoplankton. Comprising the following steps: collecting a water body sample of surface seawater in an offshore area; dNA in the water body sample is filtered and extracted, and high-throughput sequencing analysis is carried out after PCR amplification; performing species classification annotation on each sequence, and constructing a data matrix according to obtained phytoplankton OUT data; calculating a Spearman correlation coefficient; constructing an inter-species correlation matrix, and selecting proper species to construct a co-occurrence network; exporting edge data and point data, and screening nodes with the maximum betweenness centrality or the highest tight centrality as key species; calculating an organic pollution index (OPI) and carrying out Spearman correlation analysis to determine OPI sensitive phytoplankton; and establishing a prediction model for prediction to obtain a predicted environmental pollution index. The method has the advantages that model complexity and noise influence are reduced; the prediction accuracy reaches 100% when the water quality is seriously polluted.

The invention provides a method for establishing a spatial LCA data set, and relates to the technical field of life cycle evaluation and environment management, and the method comprises the steps: determining a data set target and a corresponding product / service, and defining a system boundary, a region boundary, a time boundary and a data quality requirement; then collecting basic unit process data including input / output streams and geographic positions; making a space division rule (including a space range, a grid shape and granularity) according to a region boundary and an application scene, and generating a grid system; attributing the basic unit data to the corresponding grids through space matching; aggregating the data in the grids according to a weighted average algorithm and other synthesis rules to generate synthesis unit process data; associating the grid geographic position identification to form grid unit process data; and finally, storing the original data and processing records in standard formats such as ILCD / EcoSpold2 and the like. The time-space consistency, traceability and multi-scene adaptability of data are ensured through a systematic process, and the method is suitable for the fields of environmental evaluation, carbon accounting and the like.

The uncertainty analysis method of the environmental impact accounting of electrocatalytic membranes based on Monte Carlo simulation relates to the field of environmental evaluation of electrocatalytic membranes. The present invention aims to solve the problems of complex operation, time-consuming and labor-intensive in traditional methods. The present invention is based on the Monte Carlo random sampling method, adopts the total environmental impact load evaluation model of the electrocatalytic membrane, obtains the influence of resources and energy on environmental impact indicators during the life cycle of the electrocatalytic membrane, screens out key factors through sensitivity analysis, and then performs uncertainty analysis through Monte Carlo simulation to obtain the uncertainty range of the environmental impact of the electrocatalytic membrane. The present invention can quantitatively and objectively analyze the environmental impact of each indicator during the life cycle of the electrocatalytic membrane, judge the main environmental impact and uncertainty range of the electrocatalytic membrane, has accurate evaluation, convenient operation, small subjective influence, and broad application prospects. It has certain mathematical and physical meanings, high reliability, can be extended to other models, and has certain practical value.

This environmental evaluation method includes: acquiring impact information indicating an impact on the environment caused by the use of energy by an operating device (400) that operates by being supplied with energy; acquiring consumption information indicating the amount of energy consumed by the operating device; and calculating an environmental evaluation value indicating an evaluation of the operating device with respect to the environment, corresponding to the amount of energy consumed, on the basis of the impact information and the consumption information.

The present invention discloses an end-to-end urban environment monitoring method based on deep learning, including data collection, data encoding, a deep learning model of urban environment quality and model training; the present invention belongs to the field of environmental measurement and deep learning technology, and specifically is an end-to-end urban environment monitoring method based on deep learning. The advantages of the present invention are: a multi-source data collection method is used for environmental monitoring, cloud computing is used for data collection and data processing, a deep learning model of urban environment quality is proposed according to the attention mechanism, the data sources are rich, the environmental quality of the city is fully reflected, computing resources are effectively used, and accurate environmental evaluation is given according to the collected environmental data and their interrelationships.

The invention relates to the technical field of environment evaluation, in particular to an abandoned mine geological environment comprehensive evaluation method, a medium and equipment. The method comprises the following steps: constructing an abandoned mine geological environment comprehensive evaluation index system; determining the optimal subjective weight of the evaluation index based on a fuzzy analytic hierarchy process and an IRMO algorithm; determining objective weights of evaluation indexes based on an entropy weight method; based on the game theory, determining the comprehensive weight of the evaluation index; and dividing evaluation grades, calculating the membership degree of the evaluation object to each evaluation grade based on a fuzzy comprehensive evaluation method, and determining the evaluation grade of the evaluation object according to a maximum membership degree principle. Subjective and objective coordination of evaluation index weights, geological conditions, mine resource damage and loss degrees and geological environment problems are considered; the IRMO algorithm is introduced, the subjective weight obtaining method of the fuzzy analytic hierarchy process is optimized, the influence of the expert level on the judgment matrix in the existing analysis method is weakened, the credibility of the weight is improved, and the final evaluation result is more reliable.

The present invention discloses a structure intelligent monitoring device based on deep learning, which specifically relates to the field of structure measurement and survey, including a camera image acquisition module, an external environment information acquisition module, an external environment data comparison module, an internal environment information acquisition module, an internal environment data comparison module, a camera and algorithm synchronization module, and an abnormal state processing module. The device system generates an environmental assessment index through the external environment information acquisition module and the internal environment information acquisition module, and compares it with a preset safety threshold; when the evaluation index of the external environment or internal environment monitored or surveyed exceeds the safety range, the system will automatically suspend data processing or adjust the acquisition parameters to avoid monitoring and analysis under unstable or abnormal conditions; this mechanism effectively improves the adaptability and safety of the system in complex environments, ensuring that it can still maintain accurate monitoring and survey capabilities under harsh conditions.

The present invention belongs to the field of task execution environment evaluation, and particularly relates to a method and system for comprehensively evaluating the environmental cost of a task plan based on spatio-temporal voxels. A spatio-temporal comprehensive environmental impact model for describing the laws of spatio-temporal environmental impact for tasks is constructed in a spatio-temporal coordinate system; the spatio-temporal comprehensive environmental impact model is rasterized to construct spatio-temporal voxels, and the spatio-temporal trajectory during the execution of the task plan is obtained through trajectory tracking. The comprehensive environmental cost of the task plan is calculated according to the occurrence and accumulation laws of the cost of the spatio-temporal voxels passed through. By constructing a comprehensive environmental impact model based on spatio-temporal voxels, the present invention extends the time dimension on the basis of the spatial cost law of the task environment to realize the situation of continuous change in time at any point in space, can reflect the impacts of various factors of time and space on the task, comprehensively and reasonably realizes the spatio-temporal environmental evaluation of the task plan, and the analysis principle is close to the actual situation, having a good application prospect.

The invention provides an ecological resource comprehensive evaluation method and system based on a big data model, and an application medium. The evaluation method comprises the following steps: S1, obtaining massive ecological resource image data shot by a remote sensing satellite; s2, filtering the mass ecological resource image data in the step S1 to obtain filtered mass ecological resource image data; s3, screening the filtered mass ecological resource image data to obtain screened mass ecological resource image data; and S4, evaluating the ecological environment degree of the screened massive ecological resource image data. According to the method, the environmental degree evaluation of the image shooting area can be obtained by analyzing the shot massive ecological resource image data.

The invention discloses an asphalt flue gas collection and detection device and a comprehensive environment evaluation method thereof, and belongs to the field of road engineering.The device comprises an environment simulation module used for simulating the asphalt modification treatment process and providing various simulation environments; the asphalt flue gas collection and real-time detection module is used for detecting flue gas components to obtain detection data and transmitting the detection data after the environment simulation module is started; the data processing module is used for receiving the detection data and carrying out asphalt flue gas comprehensive environment evaluation based on the detection data; and the asphalt waste gas treatment module is used for treating asphalt waste gas after the asphalt flue gas collection and real-time detection module finishes working. By integrating the comprehensive environment evaluation method, materials with better energy conservation and emission reduction effects can be screened out, so that an experimental basis is provided for energy conservation and emission reduction of the asphalt pavement.

The invention discloses a multi-source geological information in-situ intelligent sensing system of a micro-nano geotechnical robot. The system comprises a micro-nano rock-soil robot cluster, an energy supply unit, electromagnetic modified micro-nano particles, a main control unit and an injection-production system. The micro-nano rock-soil robot is composed of a micro-nano sensor, a power supply, a communication module and a control module, and the sensor can be a temperature sensor, a ground stress sensor, a fluid pressure sensor, a microbial sensor, an ion concentration sensor and a pH value sensor according to monitoring requirements so as to realize monitoring and acquisition of multi-source geological information. And the main control unit processes the monitoring data by using a machine learning technology and comprehensively reconstructs underground information. The system can realize multi-dimensional monitoring of geological information, and promotes research and application in the fields of deep engineering construction, underground resource mining and environmental evaluation.

The invention relates to the technical field of geological exploration, and discloses a geological exploration system suitable for offshore and specific regional water bodies, which comprises a data integration unit, a data receiving unit and an intelligent analysis unit, and is characterized in that the data integration unit is used for collecting an environment data set, an equipment data set and a historical data set; the data receiving unit is used for numbering and storing a collected environment data set, an equipment data set and a historical data set, the intelligent analysis unit is used for calculating an environment influence coefficient and an equipment initial precision coefficient, and the judgment module is used for calculating an equipment environment evaluation value and carrying out abnormity judgment on the equipment initial evaluation value. And a signal is sent to the feedback module for feedback under the condition of judging that abnormity exists, so that challenges caused by environmental changes and the initial working state of the equipment can be found in time, the equipment can still operate stably in a severe environment, faults and downtime caused by environmental factors are reduced, and the service life of the equipment is prolonged. And meanwhile, the decline trend of equipment performance can be found in time.

The application provides a UAV inspection route determination method, device, equipment and medium. The UAV inspection route determination method comprises: a. obtaining basic geographic information, environmental state data and task requirements of a target area, wherein the geographic information of the target area is obtained through remote sensing data, the environmental state data is collected in real time through a sensor, and the task requirements include a starting point, an ending point of the inspection path and specific tasks of the inspection. The UAV inspection route determination method, device, equipment and medium introduce an environmental factor correction model and an adaptive optimization algorithm, thereby solving the problem that dynamic environmental changes are not fully considered in traditional path planning. The environmental factor correction model can pre-process the path in real time according to external factors such as wind speed, air temperature and atmospheric pressure, thereby generating a more accurate environmental evaluation map, and providing more comprehensive reference data for path planning.

The present invention discloses a method and device for monitoring environmental data, a storage medium and a processor, and relates to the technical field of environmental evaluation, comprising: an environmental monitoring cloud server responds to and receives an environmental data monitoring request, and counts the monitoring request data; according to the monitoring request data, extracts an environmental monitoring area mark as a pre-monitoring area, and performs information filtering and collection on the pre-monitoring area to determine an environmental monitoring constraint information set for the pre-monitoring area; writes the environmental monitoring constraint information set for the pre-monitoring area into an environmental monitoring central processor, and generates environmental monitoring characterization parameters for the pre-monitoring area, and obtains an ideal solution for the number of environmental monitoring deployment points and an ideal solution for the number of environmental monitoring times for the pre-monitoring area through correction processing. The present invention realizes targeted monitoring measure adjustment in the early stage of environmental data monitoring, so that the monitoring intensity can adapt to the specific characteristics of the monitoring area, and ensures the effectiveness and accuracy of the environmental monitoring evaluation results.

The invention discloses a residential quarter livability evaluation method considering different crowd preferences, and particularly relates to the technical field of human settlement environment evaluation, which comprises the steps of obtaining vector and attribute data of residential quarters in a city, constructing an evaluation basic data set, and constructing an evaluation system containing five-dimensional and three-level indexes such as living safety. And performing quantitative statistics and geographic space indexes, grouping questionnaires according to ages to obtain index weights, and performing weighted summation to obtain a residential quarter livability evaluation result considering crowd preferences. The method focuses on smaller spatial scale to carry out evaluation, gives consideration to objective environmental factors and subjective preferences of different crowds, adopts an adaptive quantification mode for different types of data, accurately measures the influence of various geographic space factors, fully distinguishes the demand differences of different age groups, enables the evaluation result to better fit an actual living scene, and improves the evaluation efficiency. The accuracy and rationality of human settlement environment evaluation are improved, a reliable basis is provided for urban planning and human settlement environment improvement, and ordered promotion of differentiated community construction is supported.

The invention relates to a city appearance environment monitoring method, device and equipment and a storage medium, and the method comprises the following steps: carrying out the image collection of a target city through preset front-end equipment, and obtaining a target city image; performing city appearance environment monitoring on the target city image by using a preset AI monitoring algorithm to obtain a city appearance environment monitoring result; judging whether the city appearance environment monitoring result has city appearance problem environment characteristics or not, and if yes, positioning the city appearance environment problem characteristics to obtain positioning city appearance environment problem data; performing quantitative evaluation on the positioning city appearance environment problem data through an environment evaluation index system to obtain an evaluation result; formulating an environment management optimization scheme of the target city based on the evaluation result; the technical problems that due to the lack of effective data analysis means, the environmental problems can only be handled afterwards, and prevention and timely intervention are difficult to achieve are solved.